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Synthetic biology for pharmaceutical drug discovery

Overview of attention for article published in Drug Design, Development and Therapy, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 2,268)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
16 news outlets
blogs
4 blogs
twitter
10 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
241 Mendeley
Title
Synthetic biology for pharmaceutical drug discovery
Published in
Drug Design, Development and Therapy, December 2015
DOI 10.2147/dddt.s58049
Pubmed ID
Authors

Jean-Yves Trosset, Pablo Carbonell

Abstract

Synthetic biology (SB) is an emerging discipline, which is slowly reorienting the field of drug discovery. For thousands of years, living organisms such as plants were the major source of human medicines. The difficulty in resynthesizing natural products, however, often turned pharmaceutical industries away from this rich source for human medicine. More recently, progress on transformation through genetic manipulation of biosynthetic units in microorganisms has opened the possibility of in-depth exploration of the large chemical space of natural products derivatives. Success of SB in drug synthesis culminated with the bioproduction of artemisinin by microorganisms, a tour de force in protein and metabolic engineering. Today, synthetic cells are not only used as biofactories but also used as cell-based screening platforms for both target-based and phenotypic-based approaches. Engineered genetic circuits in synthetic cells are also used to decipher disease mechanisms or drug mechanism of actions and to study cell-cell communication within bacteria consortia. This review presents latest developments of SB in the field of drug discovery, including some challenging issues such as drug resistance and drug toxicity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Switzerland 1 <1%
Malaysia 1 <1%
Germany 1 <1%
Mexico 1 <1%
Denmark 1 <1%
China 1 <1%
United States 1 <1%
Unknown 231 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 14%
Researcher 32 13%
Student > Bachelor 32 13%
Student > Ph. D. Student 27 11%
Other 14 6%
Other 38 16%
Unknown 64 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 21%
Agricultural and Biological Sciences 49 20%
Chemistry 26 11%
Pharmacology, Toxicology and Pharmaceutical Science 14 6%
Engineering 11 5%
Other 25 10%
Unknown 66 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 158. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2023.
All research outputs
#259,359
of 25,371,288 outputs
Outputs from Drug Design, Development and Therapy
#23
of 2,268 outputs
Outputs of similar age
#4,025
of 395,397 outputs
Outputs of similar age from Drug Design, Development and Therapy
#1
of 94 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.